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  1. Ansatte

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English

Annette Stahl

Last ned pressefoto
Last ned pressefoto
Foto:

Annette Stahl

Professor (Onsager Fellow)
Institutt for teknisk kybernetikk
Fakultet for informasjonsteknologi og elektroteknikk

annette.stahl@ntnu.no
Elektro D/B2, 339, Gløshaugen, O. S. Bragstads plass 2D, NO-7034 Trondheim
Onsager Fellowship programme Robotic Vision new at NTNU
Om Publikasjoner Undervisning Formidling

Om

Annette Stahl is a Professor at the Department of Engineering Cybernetics, an Affiliated Scientist of the Centre of Excellence - NTNU AMOS, and a Researcher at the Centre for Research-based Innovation (SFI) AutoShip. She is Head of the Robotc Vision Group and PI of the Research Council of Norway funded AILARON project. She has a PhD in Applied Mathematics - Computer Vision from Heidelberg University, Germany.

 

Research Interests

  • Robotic, computer and machine vision
  • Control theory, robotics, autonomous vehicles
  • Mathematical image analysis
  • Motion estimation, variational methods, partial differential equations
  • Object recognition
  • Multi-view reconstruction
  • Visual SLAM
  • Statistical shape analysis
  • Machine learning
  • Virtual reality
  • Isogeometric analysis, visualization
  • High perfomance computing

 

Supervision

PhD-candidates:

       Main supervisor:

  • Trym Nygård , funded by the Research Council of Norway (IKTPLUSS) - AUTOSIGHT
  • Emil Martens (integrated PhD), funded by the Research Council of Norway - SFI AUTOSHIP
  • Mauhing Yip, funded by the Research Council of Norway (KPN MAROFF) - AROS project
  • Michael Ernesto Lopez, funded by the Research Council of Norway (KPN MAROFF) - AUTOSIT project
  • Jonatan Dyrstad funded by the Research Council of Norway (FRINATEK/IKTPLUSS) - Neodroit project
  • Trym Haavardsholm funded by FFI
  • Simen Haugo funded by NTNU
  • Marco Leonardi funded by NTNU

      Co-advisor:

  • Espen Berntsen Høgstedt, Individual Fish reidentification (CAIGE), Main supervisor: Rudolf Mester, IDI
  • Nicholas Dalhaug, Extendend Object Tracking exploiting stereo vision (AUTOSIGHT), Main supervisor: Edmund Brekke
  • Matias Haugum, (AWAS) ,Main supervisor: Tor Arne Johansen
  • Henrik Dobbe Flemmen (SFI Autoship), Main supervisor: Edmund Brekke
  • Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
  • Torje Nysæther: Vision-based Autonomous Docking and Intervention Operations (ERC CRÈME) Main supervisor: Kristin Y. Pettersen
  • Andreas Langeland Teigen, Underwater SLAM (AROS), Main supervisor: Rudolf Mester, IDI
  • Øystein Volden, Real-Time Encryption of Computer Vision Feedback Control Systems for Autonomous Ships Main supervisor: Thor Inge Fossen
  • Øystein Kaarlsen Helgesen, Sensor Fusion and Situational Awareness for autonomous urban ferries in the Autoferry project: Main supervisor: Edmund Brekke
  • Lars-Christian Tokle, Sensor fusion for autonomous ferry, Main supervisor: Edmund Brekke

 

Master students:

  • 2023/2024: 15 Master students
  • 2022/2023:   4 Master students
  • 2021/2022:   9 Master students
  • 2020/2021:   8 Master students
  • 2019/2020: 10 Master students
  • 2018/2019: 13 Master students
  • 2017/2018:   5 Master students
  • 2016/2017:   7 Master students

Alumni:

  • Joseph Garrett (ERCIM fellow), Postdoctoral fellow
  • Aya Saad funded by the Research Council of Norway (FRINATEK/IKTPLUSS)

 

Projects

  • AUTOSIGHT - Autonomy through stereo vision near the seashore (RCN IKTPLUSS)
  •  AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ, (RCN FRINATEK/IKTPLUSS)
  • AROS - Autonomous Robots for Ocean Sustainability (RCN IKTPLUSS)
  • Deteksjon av person i elva basert på infrarød sensor, maskinlæring og automatisk bildebehandling (RFFTRØNDELAG), in collaboration with Zebop AS
  • SFI AutoShip: Autonomous Ships for Safe and Sustainable Operations (RCN SFI)
  • AUTOSIT - Autonomous Ships, Intentions and Situational Awareness (RCN KPN MAROFF)
  • INDISAL - Enabling technology for identification of individual salmon in
    commercial fish-cages
    (RCN HAVBRUK2), In collaboration with SINTEF Ocean
  • NEODROID Creating a reality-ready robot brain in virtual reality (RCN FRINATEK/IKTPLUSS), in collaboration with SINTEF Ocean
  • CageReporter Development of technology for autonomous, bio-interactive and high-quality data acquisition in Aquaculture sea cages (RCN IPN), in collaboration with SINTEF Ocean

 

News

  • A robotic microplankton sniffer-dog (May 2021)
    https://norwegianscitechnews.com/2021/05/a-robotic-microplankton-sniffer-dog/
  • iLaks article (Oct 2016): Droner ser sykdom på fisk og hull i noter

http://ilaks.no/droner-ser-sykdom-pa-fisk-og-hull-i-noter/

  • Gemini article (Aug 2016): Robotic Vision helps detect diseases and keep fish healthy

http://gemini.no/en/2016/08/robot-vision-helps-detect-diseases-and-keep-fish-healthy/

https://www.sintef.no/en/latest-news/robot-vision-helps-detect-diseases-and-keep-fish-h/

  • Gemini article (Aug 2016): Robotsyn oppdager sykdom og gir friskere fisk

http://gemini.no/2016/08/robotsyn-oppdager-sykdom-og-gir-friskere-fisk/

http://sintef.no/siste-nytt/robotsyn-finner-sykdom-og-gir-friskere-fisk/

http://www.abcnyheter.no/livet/2016/08/12/195235012/robotsyn-finner-sykdom-og-gir-friskere-fisk

  • DN article (July 2016): Robotsyn gir friskere fisk

http://www.dn.no/meninger/debatt/2016/07/21/2120/Teknologi/robotsyn-gir-friskere-fisk

 

Datasets

  • The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth https://www.ntnu.edu/arosvisiongroup/varos

Kompetanseord

  • Anvendt matematikk
  • Bildebehandling
  • Datasyn
  • Isogeometri
  • Maskinlæring
  • Matematisk optimering
  • Mønstergjenkjenning
  • Numerisk analyse
  • Optimering
  • Robotsyn
  • Splineteknologi
  • Visualisering

Publikasjoner

  • Kronologisk
  • Etter kategori
  • Se alle publikasjoner i Cristin

2025

  • Teigen, Andreas Langeland; Yip, Mau Hing; Hamran, Victor Pierre; Skui, Vegard; Stahl, Annette; Mester, Rudolf. (2025) Removing Adverse Volumetric Effects from Trained Neural Radiance Fields. Lecture Notes in Computer Science (LNCS)
    Vitenskapelig artikkel

2024

  • Hilmarsen, Henrik; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Dalhaug, Nicholas; Nygård, Trym Anthonsen. (2024) Maritime Tracking-by-Detection Using Camera and Lidar. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Larsen, Sindre; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Objective Analysis of Melanin Spots as Welfare Signals in Atlantic Salmon Using AI-Based Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Fink, Thale Eliassen; Stahl, Annette; Yip, Mau Hing. (2024) Near Real-Time Data Extraction and Georeferencing of the Eelume Robot’s Point Cloud, with Publishing to Custom User Applications. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Storstein, Fredrikke; Stahl, Annette; Mester, Rudolf. (2024) Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Fjorden, Thomas; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Wiik, Magnus; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Assessing Re-Identification Capabilities of Salmon Body Parts Using AI-Based Computer Vision Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Yip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Høgstedt, Espen Berntzen; Schellewald, Christian; Mester, Rudolf; Stahl, Annette. (2024) Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability. Aquaculture
    Vitenskapelig artikkel
  • Schellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Diamanti, Eleni; Yip, Mau Hing; Stahl, Annette; Ødegård, Øyvind. (2024) Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios. Journal of Computer Applications in Archaeology
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera. Journal of Physics: Conference Series (JPCS)
    Vitenskapelig artikkel
  • Dalhaug, Nicholas; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Grini, Jon Torgeir; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas; Brekke, Edmund Førland; Stahl, Annette. (2024) FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Hilmarsen, Henrik; Dalhaug, Nicholas; Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar . IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Teigen, Andreas Langeland; Park, Yeonsoo; Stahl, Annette; Mester, Rudolf. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Dalhaug, Nicholas; Nygård, Trym Anthonsen; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Advancing Sparse Classical Scene Flow into the Maritime Domain. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Yip, Mau Hing; Stahl, Annette; Schellewald, Christian. (2024) Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices. Computer-Aided Design
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Dalhaug, Nicholas; Mester, Rudolf; Brekke, Edmund Førland; Stahl, Annette. (2024) Stereo Camera-based Free Space Estimation for Docking in Urban Waters. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Bergholt, Agnes Verne; Haukefær, Anna Aurora; Stahl, Annette. (2024) Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Grini, Jon Torgeir; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas. (2024) Bayesian Adaptive Segmentation of Water Surfaces with Reflection Correction. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave

2023

  • Martens, Emil Ludvig; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2023) Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Kwizera, Fred; Stahl, Annette. (2023) Deep Learning based plankton Classification. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Semb, Helene; Stahl, Annette. (2023) Optimizing Mask R-CNN network for damage detection on infrastructure. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Strandenes, Kevin; Stahl, Annette. (2023) Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Høgstedt, Espen Berntzen; Stahl, Annette; Schellewald, Christian. (2023) Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Dyrstad, Jonatan Sjølund; Stahl, Annette; Mathiassen, John Reidar Bartle. (2023) Robot learning with visual processing in arbitrarily sized, high resolution volumes . Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling
  • Helgesen, Øystein Kaarstad; Thyri, Emil Hjelseth; Brekke, Edmund Førland; Stahl, Annette; Breivik, Morten. (2023) Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette. (2023) Multi-Sensor Tracking for Autonomous Surface Vehicles. Doctoral theses at NTNU (84)
    Doktorgradsavhandling
  • Williamson, David Roddan; Moreira Fragoso, Glaucia; Majaneva, Sanna Kristiina; Dallolio, Alberto; Halvorsen, Daniel Ørnes; Hasler, Oliver Kevin. (2023) Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales. Oceanography
    Vitenskapelig artikkel
  • Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2023) Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles. IEEE Access
    Vitenskapelig artikkel
  • Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance. NTNU
    Doktorgradsavhandling
  • Helgesen, Øystein Kaarstad; Stahl, Annette; Brekke, Edmund Førland. (2023) Maritime Tracking with Georeferenced Multi-Camera Fusion. IEEE Access
    Vitenskapelig artikkel
  • Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations. Autonomous Robots
    Vitenskapelig artikkel
  • Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Ansari, Sadaf; Desai, Dattesh V.; Saad, Aya; Stahl, Annette. (2023) Implications of single-stage deep learning networks in real-time zooplankton identification. Current Science
    Vitenskapelig artikkel

2022

  • Stahl, Annette. (2022) Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness of underwater visual perception systems. NTNU AMOS - Annual Report
    Rapport
  • Stahl, Annette. (2022) Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish Behavior. NTNU AMOS - Annual Report
    Rapport
  • Schmidt, Magnus Stray; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Kolsgaard, Amalie; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2022) Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Fagerli, Anders Thallaug; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Deep Monocular Depth Estimation for Autonomous Underwater Vehicles. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
    Vitenskapelig artikkel
  • Schellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision . IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Oudijk, Esmée; Hasler, Oliver Kevin; Øveraas, Henning; Marty, Sabine; Williamson, David Roddan; Svendsen, Torbjørn Karl. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    Vitenskapelig artikkel
  • Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette. (2022) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Haugo, Simen; Stahl, Annette. (2022) Progressive integration of visibility constraints for implicit functions. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2022) Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2022) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Vasstein, Kjetil; Brekke, Edmund Førland; Stahl, Annette. (2022) Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment. Ocean Engineering
    Vitenskapelig artikkel

2021

  • Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV)
    Vitenskapelig artikkel
  • Borgersen, Jonas; Stahl, Annette; Saad, Aya. (2021) Attention Segmentation Approaches for Plankton Images Captured in-Situ. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-based pose estimation for autonomous operations in aquacultural fish farms. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA)
    Vitenskapelig artikkel
  • Bazilchuk, Nancy Reney; Stahl, Annette; Johnsen, Geir; Saad, Aya; Thu, Maren; Nøland, Annecken. (2021) Sporhunden som lukter mikroalger. . Gemini.no
    Populærvitenskapelig artikkel
  • Haug, Martin; Stahl, Annette; Saad, Aya. (2021) Appling active learning techniques in machine learning to minimize labeling effort. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Salvesen, Eivind; Stahl, Annette; Saad, Aya. (2021) Uovervåket metoder for in-situ klassifisering av plankton taxa. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
    Mastergradsoppgave
  • Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2021) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2021) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel

2020

  • Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract). OCEANS
    Sammendrag/abstract
  • Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS
    Vitenskapelig artikkel
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract. OCEANS
    Sammendrag/abstract
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS
    Vitenskapelig artikkel
  • Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS
    Vitenskapelig artikkel
  • Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract. OCEANS
    Sammendrag/abstract
  • Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette. (2020) Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters
    Vitenskapelig artikkel
  • Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI)
    Vitenskapelig artikkel
  • Teigen, Andreas; Stahl, Annette; Saad, Aya. (2020) Few-shot open world learning. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Bergum, Sondre; Stahl, Annette; Saad, Aya. (2020) Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Oda, Kiese; Stahl, Annette; Saad, Aya. (2020) Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Springer Nature
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Springer Nature
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole. (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography
    Vitenskapelig artikkel

2019

  • Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Stahl, Annette; Johansen, Tor Arne; Sigernes, Fred. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    Vitenskapelig artikkel
  • Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. SPIE - The International Society for Optics and Photonics
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge. (2019) Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform. Aquacultural Engineering
    Vitenskapelig oversiktsartikkel/review

2018

  • Dyrstad, Jonatan Sjølund; Øye, Elling Ruud; Stahl, Annette; Mathiassen, John Reidar Bartle. (2018) Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    Vitenskapelig artikkel
  • Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM . Elsevier
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2017

  • Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David. (2017) Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering
    Vitenskapelig artikkel
  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne; Lader, Pål Furset. (2017) Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages. Aquacultural Engineering
    Vitenskapelig artikkel
  • Føre, Martin; Svendsen, Eirik; Frank, Kevin; Schellewald, Christian; Sunde, Leif Magne; Stahl, Annette. (2017) LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser. Norsk Fiskeoppdrett
    Populærvitenskapelig artikkel
  • Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. SINTEF Ocean AS
    Rapport
  • Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2016

  • Jovanović, Vedran; Risojević, Vladimir; Babić, Zdenka; Svendsen, Eirik; Stahl, Annette. (2016) Splash detection in surveillance videos of offshore fish production plants. International Conference on Systems, Signals, and Image Processing
    Vitenskapelig artikkel
  • Stahl, Annette. (2016) Robotsyn gir friskere fisk. Dagens næringsliv
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Robotsyn finner sykdom og gir friskere fisk. Gemini
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Robot vision helps detect diseases and keep fish healthy. Gemini (English edition)
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Droner ser sykdom på fisk og hull i nøter. iLaks.no
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Automatisering
    Populærvitenskapelig artikkel
  • Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian. (2016) Post-processing and visualization techniques for isogeometric analysis results. Computer Methods in Applied Mechanics and Engineering
    Vitenskapelig artikkel

2015

  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. SINTEF Fiskeri og Havbruk
    Rapport
  • Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2014

  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. SINTEF Fiskeri og havbruk
    Rapport

2012

  • Stahl, Annette; Schellewald, Christian; Stavdahl, Øyvind; Aamo, Ole Morten; Adde, Lars; Kirkerød, Harald. (2012) An Optical Flow-Based Method to Predict Infantile Cerebral Palsy. IEEE transactions on neural systems and rehabilitation engineering
    Vitenskapelig artikkel

2011

  • Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. Tapir Akademisk Forlag
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2010

  • Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. INSTICC (Institute for Systems and Technologies of Information, Control and Communication)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2009

  • Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
    Doktorgradsavhandling

2007

  • Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2007) Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology
    Vitenskapelig artikkel

2003

  • Stahl, Annette. (2003) Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung. University of Mannheim, Germany
    Mastergradsoppgave

Tidsskriftspublikasjoner

  • Teigen, Andreas Langeland; Yip, Mau Hing; Hamran, Victor Pierre; Skui, Vegard; Stahl, Annette; Mester, Rudolf. (2025) Removing Adverse Volumetric Effects from Trained Neural Radiance Fields. Lecture Notes in Computer Science (LNCS)
    Vitenskapelig artikkel
  • Yip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Høgstedt, Espen Berntzen; Schellewald, Christian; Mester, Rudolf; Stahl, Annette. (2024) Automated computer vision based individual salmon (Salmo salar) breathing rate estimation (SaBRE) for improved state observability. Aquaculture
    Vitenskapelig artikkel
  • Schellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Diamanti, Eleni; Yip, Mau Hing; Stahl, Annette; Ødegård, Øyvind. (2024) Advancing Data Quality of Marine Archaeological Documentation Using Underwater Robotics: From Simulation Environments to Real-World Scenarios. Journal of Computer Applications in Archaeology
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera. Journal of Physics: Conference Series (JPCS)
    Vitenskapelig artikkel
  • Dalhaug, Nicholas; Nygård, Trym Anthonsen; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Advancing Sparse Classical Scene Flow into the Maritime Domain. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Yip, Mau Hing; Stahl, Annette; Schellewald, Christian. (2024) Robust Hole-Detection in Triangular Meshes Irrespective of the Presence of Singular Vertices. Computer-Aided Design
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Dalhaug, Nicholas; Mester, Rudolf; Brekke, Edmund Førland; Stahl, Annette. (2024) Stereo Camera-based Free Space Estimation for Docking in Urban Waters. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Thyri, Emil Hjelseth; Brekke, Edmund Førland; Stahl, Annette; Breivik, Morten. (2023) Experimental validation of camera-based maritime collision avoidance for autonomous urban passenger ferries. MIC Journal: Modeling, Identification and Control
    Vitenskapelig artikkel
  • Williamson, David Roddan; Moreira Fragoso, Glaucia; Majaneva, Sanna Kristiina; Dallolio, Alberto; Halvorsen, Daniel Ørnes; Hasler, Oliver Kevin. (2023) Monitoring Algal Blooms with Complementary Sensors on Multiple Spatial and Temporal Scales. Oceanography
    Vitenskapelig artikkel
  • Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2023) Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles. IEEE Access
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Stahl, Annette; Brekke, Edmund Førland. (2023) Maritime Tracking with Georeferenced Multi-Camera Fusion. IEEE Access
    Vitenskapelig artikkel
  • Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) UVS: underwater visual SLAM—a robust monocular visual SLAM system for lifelong underwater operations. Autonomous Robots
    Vitenskapelig artikkel
  • Ansari, Sadaf; Desai, Dattesh V.; Saad, Aya; Stahl, Annette. (2023) Implications of single-stage deep learning networks in real-time zooplankton identification. Current Science
    Vitenskapelig artikkel
  • Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
    Vitenskapelig artikkel
  • Schellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision . IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Oudijk, Esmée; Hasler, Oliver Kevin; Øveraas, Henning; Marty, Sabine; Williamson, David Roddan; Svendsen, Torbjørn Karl. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    Vitenskapelig artikkel
  • Borgersen, Jonas Nagell; Saad, Aya; Stahl, Annette. (2022) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Haugo, Simen; Stahl, Annette. (2022) Progressive integration of visibility constraints for implicit functions. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2022) Hole Detection in Aquaculture Net Cages from Video Footage. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2022) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Vasstein, Kjetil; Brekke, Edmund Førland; Stahl, Annette. (2022) Heterogeneous multi-sensor tracking for an autonomous surface vehicle in a littoral environment. Ocean Engineering
    Vitenskapelig artikkel
  • Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. IEEE International Conference on Computer Vision (ICCV)
    Vitenskapelig artikkel
  • Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-based pose estimation for autonomous operations in aquacultural fish farms. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Haug, Martin Lund; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Volden, Øystein; Stahl, Annette; Fossen, Thor I.. (2021) Vision-based positioning system for auto-docking of unmanned surface vehicles (USVs). International Journal of Intelligent Robotics and Applications (IJIRA)
    Vitenskapelig artikkel
  • Bazilchuk, Nancy Reney; Stahl, Annette; Johnsen, Geir; Saad, Aya; Thu, Maren; Nøland, Annecken. (2021) Sporhunden som lukter mikroalger. . Gemini.no
    Populærvitenskapelig artikkel
  • Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2021) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2021) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC-PapersOnLine
    Vitenskapelig artikkel
  • Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2021) An instance segmentation framework for in-situ plankton taxa assessment. Proceedings of SPIE, the International Society for Optical Engineering
    Vitenskapelig artikkel
  • Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN (Extended abstract). OCEANS
    Sammendrag/abstract
  • Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. OCEANS
    Vitenskapelig artikkel
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - extended abstract. OCEANS
    Sammendrag/abstract
  • Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. OCEANS
    Vitenskapelig artikkel
  • Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. OCEANS
    Vitenskapelig artikkel
  • Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - extended abstract. OCEANS
    Sammendrag/abstract
  • Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette. (2020) Multimodal Multispectral Imaging System for Small UAVs. IEEE Robotics and Automation Letters
    Vitenskapelig artikkel
  • Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. Proceedings - International Conference on Tools with Artificial Intelligence (ICTAI)
    Vitenskapelig artikkel
  • Saad, Aya; Stahl, Annette; Våge, Andreas; Davies, Emlyn John; Nordam, Tor; Aberle-Malzahn, Nicole. (2020) Advancing Ocean Observation with an AI-driven Mobile Robotic Explorer. Oceanography
    Vitenskapelig artikkel
  • Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Stahl, Annette; Johansen, Tor Arne; Sigernes, Fred. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
    Vitenskapelig artikkel
  • Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge. (2019) Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform. Aquacultural Engineering
    Vitenskapelig oversiktsartikkel/review
  • Dyrstad, Jonatan Sjølund; Øye, Elling Ruud; Stahl, Annette; Mathiassen, John Reidar Bartle. (2018) Teaching a robot to grasp real fish by imitation learning from a human supervisor in virtual reality. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
    Vitenskapelig artikkel
  • Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David. (2017) Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering
    Vitenskapelig artikkel
  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne; Lader, Pål Furset. (2017) Experimental study of installation procedure and volume estimation of tarpaulin for chemical treatment of fish in floating cages. Aquacultural Engineering
    Vitenskapelig artikkel
  • Føre, Martin; Svendsen, Eirik; Frank, Kevin; Schellewald, Christian; Sunde, Leif Magne; Stahl, Annette. (2017) LAKSIT:Telemetri og maskinsyn for overvåkning og dokumentasjon av fiskevelferd i avlusningsprosesser. Norsk Fiskeoppdrett
    Populærvitenskapelig artikkel
  • Jovanović, Vedran; Risojević, Vladimir; Babić, Zdenka; Svendsen, Eirik; Stahl, Annette. (2016) Splash detection in surveillance videos of offshore fish production plants. International Conference on Systems, Signals, and Image Processing
    Vitenskapelig artikkel
  • Stahl, Annette. (2016) Robotsyn gir friskere fisk. Dagens næringsliv
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Robotsyn finner sykdom og gir friskere fisk. Gemini
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Robot vision helps detect diseases and keep fish healthy. Gemini (English edition)
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Droner ser sykdom på fisk og hull i nøter. iLaks.no
    Populærvitenskapelig artikkel
  • Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Automatisering
    Populærvitenskapelig artikkel
  • Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian. (2016) Post-processing and visualization techniques for isogeometric analysis results. Computer Methods in Applied Mechanics and Engineering
    Vitenskapelig artikkel
  • Stahl, Annette; Schellewald, Christian; Stavdahl, Øyvind; Aamo, Ole Morten; Adde, Lars; Kirkerød, Harald. (2012) An Optical Flow-Based Method to Predict Infantile Cerebral Palsy. IEEE transactions on neural systems and rehabilitation engineering
    Vitenskapelig artikkel
  • Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2007) Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology
    Vitenskapelig artikkel

Del av bok/rapport

  • Dalhaug, Nicholas; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Grini, Jon Torgeir; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas; Brekke, Edmund Førland; Stahl, Annette. (2024) FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Hilmarsen, Henrik; Dalhaug, Nicholas; Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar . IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Teigen, Andreas Langeland; Park, Yeonsoo; Stahl, Annette; Mester, Rudolf. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Skjellaug, Even; Brekke, Edmund Førland; Stahl, Annette. (2020) Feature-Based Laser Odometry for Autonomous Surface Vehicles utilizing the Point Cloud Library. IEEE (Institute of Electrical and Electronics Engineers)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Haugo, Simen; Stahl, Annette. (2020) Iterative Closest Point with Minimal Free Space Constraints. Springer Nature
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Haugo, Simen; Stahl, Annette. (2020) Minimal Free Space Constraints for Implicit Distance Bounds. Springer Nature
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Holm, Egil; Transeth, Aksel Andreas; Knudsen, Ole Øystein; Stahl, Annette. (2019) Classification of corrosion and coating damages on bridge constructions from images using convolutional neural networks. SPIE - The International Society for Optics and Photonics
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Leonardi, Marco; Stahl, Annette. (2018) Convolutional Autoencoder aided loop closure detection for monocular SLAM . Elsevier
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Dahlin Rodin, Christopher; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Leonardi, Marco; Stahl, Annette. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual pose estimation for autonomous inspection of fish pens. IEEE conference proceedings
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Stahl, Annette; Aamo, Ole Morten. (2011) A new Framework for Motion Estimation in Image Sequences using Optimal Flow Control. Springer
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualisation of Isogeometric Analysis Results. Tapir Akademisk Forlag
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
  • Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. INSTICC (Institute for Systems and Technologies of Information, Control and Communication)
    Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

  • Hilmarsen, Henrik; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Dalhaug, Nicholas; Nygård, Trym Anthonsen. (2024) Maritime Tracking-by-Detection Using Camera and Lidar. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Larsen, Sindre; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Objective Analysis of Melanin Spots as Welfare Signals in Atlantic Salmon Using AI-Based Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Fink, Thale Eliassen; Stahl, Annette; Yip, Mau Hing. (2024) Near Real-Time Data Extraction and Georeferencing of the Eelume Robot’s Point Cloud, with Publishing to Custom User Applications. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Storstein, Fredrikke; Stahl, Annette; Mester, Rudolf. (2024) Design and Implementation of a Motion Simulator for an Autonomous Underwater Agent in Unreal Engine 5. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Fjorden, Thomas; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) AI-driven Analysis: Image based qualification of Scale Loss in Fish using Machine Learning and Computer Vision. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Wiik, Magnus; Stahl, Annette; Schellewald, Christian; Mester, Rudolf; Høgstedt, Espen Berntzen. (2024) Assessing Re-Identification Capabilities of Salmon Body Parts Using AI-Based Computer Vision Methods. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Bergholt, Agnes Verne; Haukefær, Anna Aurora; Stahl, Annette. (2024) Towards True Color Correction for Improved Loop Closure in Underwater Visual SLAM. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Grini, Jon Torgeir; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas. (2024) Bayesian Adaptive Segmentation of Water Surfaces with Reflection Correction. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Martens, Emil Ludvig; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2023) Paving the Way for Enhanced Situational Awareness in the Maritime Domain: Designing and Assembling a Sensor Rig for Multi-Sensor Data Set Acquisition. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Kwizera, Fred; Stahl, Annette. (2023) Deep Learning based plankton Classification. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Semb, Helene; Stahl, Annette. (2023) Optimizing Mask R-CNN network for damage detection on infrastructure. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Strandenes, Kevin; Stahl, Annette. (2023) Development of a machine vision-based stabilization and positioning system for autonomous underwater vehicles. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Høgstedt, Espen Berntzen; Stahl, Annette; Schellewald, Christian. (2023) Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Mastergradsoppgave
  • Dyrstad, Jonatan Sjølund; Stahl, Annette; Mathiassen, John Reidar Bartle. (2023) Robot learning with visual processing in arbitrarily sized, high resolution volumes . Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
    Doktorgradsavhandling
  • Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette. (2023) Multi-Sensor Tracking for Autonomous Surface Vehicles. Doctoral theses at NTNU (84)
    Doktorgradsavhandling
  • Leonardi, Marco; Stahl, Annette; Brekke, Edmund Førland; Ludvigsen, Martin. (2023) Designing and Improving Techniques for Underwater Visual SLAM and Obstacle Avoidance. NTNU
    Doktorgradsavhandling
  • Stahl, Annette. (2022) Autonomous Robots for Ocean Sustainability (AROS) – Improving the robustness of underwater visual perception systems. NTNU AMOS - Annual Report
    Rapport
  • Stahl, Annette. (2022) Robotic Vision for Aquaculture Monitoring of Structural Integrity and Fish Behavior. NTNU AMOS - Annual Report
    Rapport
  • Schmidt, Magnus Stray; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Underwater Incremental Surface Reconstruction from Dynamic 3D Point Clouds. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Kolsgaard, Amalie; Stahl, Annette; Brekke, Edmund Førland; Mester, Rudolf. (2022) Improved Maritime Vessel Detection in Camera Images using Bag-of-Visual-Words. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Fagerli, Anders Thallaug; Stahl, Annette; Mester, Rudolf; Yip, Mauhing. (2022) Deep Monocular Depth Estimation for Autonomous Underwater Vehicles. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Borgersen, Jonas; Stahl, Annette; Saad, Aya. (2021) Attention Segmentation Approaches for Plankton Images Captured in-Situ. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Haug, Martin; Stahl, Annette; Saad, Aya. (2021) Appling active learning techniques in machine learning to minimize labeling effort. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Salvesen, Eivind; Stahl, Annette; Saad, Aya. (2021) Uovervåket metoder for in-situ klassifisering av plankton taxa. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk, NTNU
    Mastergradsoppgave
  • Teigen, Andreas; Stahl, Annette; Saad, Aya. (2020) Few-shot open world learning. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Bergum, Sondre; Stahl, Annette; Saad, Aya. (2020) Objektdeteksjon og instansiertsegmentering av planktoniske organismer ved bruk av Mask R-CNN for sanntids in-situ bildebehandling. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Oda, Kiese; Stahl, Annette; Saad, Aya. (2020) Maskinlæringsmetoder som løser problemet med klasse-ubalanse for datasett av planktoniske organismer. Fakultet for informasjonsteknologi og elektroteknikk, Institutt for teknisk kybernetikk
    Mastergradsoppgave
  • Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne; Alfredsen, Jo Arve. (2017) Telemetri og maskinsyn for overvåking av trender i tilstander hos laks før, under og etter avlusning Prosjektrapport for prosjektet "Teknologi for nye datatyper og informasjon som beskriver situasjon og tilstand hos laksefisk i kommersielle merder (LAKSIT)" FHF Pnr. 901184. SINTEF Ocean AS
    Rapport
  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette; Lien, Andreas Myskja; Sunde, Leif Magne. (2015) Modellforsøk med dukbasert avlusing. Beskrivelse av gjennomføringen og resultater fra modellforsøk i Hirtshals, juni 2014 for FHF. SINTEF Fiskeri og Havbruk
    Rapport
  • Volent, Zsolt; Birkevold, Jens; Stahl, Annette. (2014) Modellforsøk med dukbasert avlusing Beskrivelse av gjennomføringen av modellforsøk i Hirtshals - Foreløpig rapport. SINTEF Fiskeri og havbruk
    Rapport
  • Stahl, Annette. (2009) PhD-Thesis: Dynamic Variational Motion Estimation and Video Inpainting with Physical Priors. University of Heidelberg - HeiDOK Heidelberger Dokumenten Server
    Doktorgradsavhandling
  • Stahl, Annette. (2003) Master Thesis: Data-dependent Triangulation and Surface Simplification - Staatsexamensarbeit: Datenabhaengige Triangulierung und Oberflaechenvereinfachung. University of Mannheim, Germany
    Mastergradsoppgave

Undervisning

Emner

  • TK8155 - Avanserte visuelle persepsjonssystemer
  • TTK4255 - Robotsyn

Formidling

2024

  • Vitenskapelig foredrag
    Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Dynamic Scene Representation for Docking in Urban Waters Using a Stereo Camera. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
  • Vitenskapelig foredrag
    Lopez, Michael Ernesto; Vasstein, Kjetil; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A General Low-Parameter 3D Ship Hull Extent Model for Object Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
  • Vitenskapelig foredrag
    Teigen, Andreas Langeland; Park, Yikyung; Mester, Rudolf; Stahl, Annette. (2024) RGB-D Mapping and Tracking in a Plenoxel Radiance Field. IEEE Xplore IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , Waikoloa, Hawaii 2024-01-14 - 2024-01-17
  • Vitenskapelig foredrag
    Schellewald, Christian; Saad, Aya; Stahl, Annette. (2024) Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision - Presentation. Internation Federation of Automatic Control IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS2024) , Virginia Tech, Blacksberg, Virginia, USA 2024-09-03 - 2024-09-05
  • Vitenskapelig foredrag
    Yip, Mau Hing; Schellewald, Christian; Gambin, Timmy; Stahl, Annette. (2024) Active Pose - Autonomous Hole-Filling Techniques for 3D Surface Reconstruction in Underwater Exploration. 15th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles , Blacksburg, Virginia 2024-09-03 - 2024-09-06
  • Vitenskapelig foredrag
    Martens, Emil Ludvig; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) A Lightweight, Polarization-Camera Equipped Sensor Rig for the Development of Autonomous Surface Vehicles. MTEC/ICMASS , Trondheim 2024-10-29 - 2024-10-30
  • Vitenskapelig foredrag
    Stahl, Annette. (2024) ti. MTEC/ICMASS 2024 Where Industry Meets Academia Trondheim, Norway, 29–30 October 2024 , Trondheim 2024-10-29 - 2024-10-30
  • Vitenskapelig foredrag
    Dalhaug, Nicholas; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Combining Short and Wide Baseline Stereo Cameras for Improved Maritime Target Tracking. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
  • Vitenskapelig foredrag
    Hilmarsen, Henrik; Dalhaug, Nicholas; Nygård, Trym Anthonsen; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2024) Maritime Tracking-By-Detection with Object Mask Depth Retrieval Through Stereo Vision and Lidar . 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
  • Vitenskapelig foredrag
    Grini, Jon Torgeir; Mester, Rudolf; Nygård, Trym Anthonsen; Dalhaug, Nicholas; Brekke, Edmund Førland; Stahl, Annette. (2024) FusedWSS: Water Surface Segmentation Fusing Machine Learning and Geometric Cues. 27th International Conference on Information Fusion , Venice 2024-07-07 - 2024-07-11
  • Vitenskapelig foredrag
    Dalhaug, Nicholas; Nygård, Trym Anthonsen; Stahl, Annette; Mester, Rudolf; Brekke, Edmund Førland. (2024) Advancing Sparse Classical Scene Flow into the Maritime Domain. IFAC CAMS 2024-09-03 - 2024-09-05
  • Vitenskapelig foredrag
    Stahl, Annette. (2024) Robotic Vision for Autonomous Operations in Aquaculture. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) , Abu Dhabi National Exhibition Centre (ADNEC), Abu Dhabi 2024-10-14 - 2024-10-14
  • Vitenskapelig foredrag
    Teigen, Andreas Langeland; Yip, Mau Hing; Hamran, Victor Pierre; Skui, Vegard; Stahl, Annette; Mester, Rudolf. (2024) Removing adverse volumetric effects from trained neural radiance fields. International Symposium on Visual Computing , Nevada 2024-10-21 - 2024-10-23

2023

  • Vitenskapelig foredrag
    Stahl, Annette. (2023) Autonomy needs Eyes - Vision-based Scene Perception and Interpretation for Autonomous Robots . NTNU AMOS AMOS Day, The Celebration Closing Event of the Center of Excellence NTNU AMOS with national and international guests; Session 3 – Selected Highlights and International Collaboration 2023-06-30 - 2023-06-30
  • Vitenskapelig foredrag
    Lopez, Michael Ernesto; Brekke, Edmund Førland; Mester, Rudolf; Stahl, Annette. (2023) Multiscan Shape Estimation for Extended Object Tracking. Fusion 2023 2023-06-27 - 2023-06-30
  • Vitenskapelig foredrag
    Flemmen, Henrik Dobbe; Mester, Rudolf; Stahl, Annette; Bryne, Torleiv Håland; Brekke, Edmund Førland. (2023) Maritime radar odometry inspired by visual odometry. International Society of Information Fusion (ISIF) 2023 26th International Conference on Information Fusion (FUSION) , Charleston 2023-06-27 - 2023-06-30
  • Faglig foredrag
    Haugum, Matias; Fragoso, Glaucia; Stahl, Annette; Johansen, Tor Arne. (2023) In-situ segmentation and post-processing of phytoplankton image data suitable for an autonomous surface vehicle. 20th International Conference on Harmful Algae 2023-11-05 - 2023-11-10

2022

  • Faglig foredrag
    Oudijk, Esmée; Hasler, Oliver Kevin; Overaas, H; Marty, Sabine; Williamson, David; Svendsen, T. (2022) Campaign For Hyperspectral Data Validation In North Atlantic Coastal Waters. 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) 2022-10-13 - 2022-10-16
  • Vitenskapelig foredrag
    Hodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. IEEE/CVF Conference on Computer Vision and Pattern Recogniti Fourth Workshop on Image Matching: Local Features and Beyond , New Orleans, Louisiana 2022-06-19 - 2022-06-23
  • Vitenskapelig foredrag
    Stahl, Annette. (2022) Keynote: Robotics and vision-based autonomic systems in challenging environments. EIROforum 2022 EIROforum Topical Workshop on Robotics & Remote Operation , Cern 2022-03-01 - 2022-03-03
  • Vitenskapelig foredrag
    Stahl, Annette. (2022) Underwater visual perception for autonomous robots. Norwegian University of Science and Technology EEA Malta-Norway Workshop , Trondheim 2022-10-11 - 2022-10-14
  • Vitenskapelig foredrag
    Stahl, Annette. (2022) Robotic Vision - Sensor systems as a basis for a sustainable digitalization. Faculty for Informatio Technology and Electrical Engineering IE-Dagen , Trondheim 2022-06-15 - 2022-06-15
  • Vitenskapelig foredrag
    Stahl, Annette. (2022) Seeing the Unseen: Visual Perception for Autonomous Robots. Norwegian University of Science and Technology AMOS Days , Trondheim 2022-09-09 - 2022-09-09
  • Vitenskapelig foredrag
    Haavardsholm, Trym Vegard; Opsahl, Thomas Olsvik; Skauli, Torbjørn; Stahl, Annette. (2022) Compact multimodal multispectral sensor system for tactical reconnaissance. SPIE SPIE Imaging Spectrometry XXV: Applications, Sensors, and Processing , San Diego 2022-08-22 -
  • Vitenskapelig foredrag
    Schellewald, Christian; Stahl, Annette. (2022) Irregularity Detection in Net Pens Exploiting Computer Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-14 - 2022-09-16
  • Vitenskapelig foredrag
    Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette. (2022) Motion Trajectory Estimation of Salmon Using Stereo Vision. International Foundation of Automatic Control 14th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles , DTU Kongens Lyngby 2022-09-22 - 2022-09-24

2021

  • Vitenskapelig foredrag
    Madshaven, Arild; Schellewald, Christian; Stahl, Annette. (2021) Hole Detection in Aquaculture Net Cages from Video Footage. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
  • Vitenskapelig foredrag
    Schellewald, Christian; Stahl, Annette; Kelasidi, Eleni. (2021) Vision-Based Net-Pose Estimation for Autonomous Operations in Aquacultural Fish Cages. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
  • Vitenskapelig foredrag
    Haugo, Simen; Stahl, Annette. (2021) Progressive integration of visibility constraints for implicit functions. 14th International Conference on Machine Vision - ICMV 2021 , Online Conference - University of Rome 2021-11-08 - 2021-11-12
  • Vitenskapelig foredrag
    Caharija, Walter; Dalseg, Esten Solem; Haugaløkken, Bent Oddvar Arnesen; Stahl, Annette. (2021) Echosounder tracking with monocular camera for biomass estimation. Oceans 2021 , San Diego – Porto 2021-09-20 - 2021-09-23
  • Vitenskapelig foredrag
    Borgersen, Jonas; Saad, Aya; Stahl, Annette. (2021) MOG: a background extraction approach for data augmentation of time-series images in deep learning segmentation. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
  • Vitenskapelig foredrag
    Haug, Martin; Saad, Aya; Stahl, Annette. (2021) A combined informative and representative active learning approach for plankton taxa labeling. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision - ICMV 2021 , Rome 2021-11-08 - 2021-11-12
  • Vitenskapelig foredrag
    Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2021) Robust Deep Unsupervised Learning Framework to Discover Unseen Plankton Species. The Sapienza University of Rome, Italy 14th International Conference on Machine Vision , Rome 2021-11-08 - 2021-11-12
  • Vitenskapelig foredrag
    Haug, Martin; Saad, Aya; Stahl, Annette. (2021) CIRAL: a hybrid active learning framework for plankon taxa labeling. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
  • Vitenskapelig foredrag
    Teigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. International Federation of Automatic Control 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS , Online Conference - University Oldenburg, Germany 2021-09-22 - 2021-09-24
  • Vitenskapelig foredrag
    Zwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCV Workshop Computer Vision in the Ocean 2021-10-17 - 2021-10-17

2020

  • Vitenskapelig foredrag
    Oda, Kiese; Saad, Aya; Stahl, Annette. (2020) Towards a Balanced-Labeled-Dataset of Planktons for a Better In-Situ Taxa Identification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
  • Poster
    Ansari, Sadaf; Saad, Aya; Stahl, Annette; Rajachandran, Madhan. (2020) Vision-based Real-time Zooplankton Detection and Classification using Faster R-CNN. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
  • Poster
    Saad, Aya; Davies, Emlyn John; Stahl, Annette. (2020) Recent Advances in Visual Sensing and Machine Learning Techniques for in-situ Plankton-taxa Classification. AGU, ASLO and TOS Ocean Sciences Meeting 2020 , San Diego, CA 2020-02-16 - 2020-02-21
  • Vitenskapelig foredrag
    Bergum, Sondre; Saad, Aya; Stahl, Annette. (2020) Automatic in-situ instance and semantic segmentation of planktonic organisms using Mask R-CNN. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
  • Vitenskapelig foredrag
    Stahl, Annette. (2020) Plenary Session: Vision for Robotics. IEEE International Workshop on Advanced Motion Control (AMC2020) 2020-09-14 - 2020-09-16
  • Poster
    Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations - Poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
  • Poster
    Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ - poster. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
  • Vitenskapelig foredrag
    Salvesen, Eivind; Saad, Aya; Stahl, Annette. (2020) Robust methods of unsupervised clustering to discover new planktonic species in-situ. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
  • Vitenskapelig foredrag
    Teigen, Andreas; Saad, Aya; Stahl, Annette. (2020) Leveraging Similarity Metrics to In-Situ Discover Planktonic Interspecies Variations or Mutations. IEEE Oceanic Engineering Society & Marine Technology Society Global OCEANS 2020 , Singapore 2020-10-05 - 2020-10-14
  • Populærvitenskapelig foredrag
    Leonardi, Marco; Fiori, Luca; Stahl, Annette. (2020) Deep learning based keypoint rejection system for underwater visual ego-motion estimation. IFAC World Congress 2020 2020-07-13 - 2020-07-17
  • Vitenskapelig foredrag
    Helgesen, Øystein Kaarstad; Brekke, Edmund Førland; Stahl, Annette; Engelhardtsen, Øystein. (2020) Low Altitude Georeferencing for Imaging Sensors in Maritime Tracking. IFAC 1st Virtual IFAC World Congress , Virtual Conference 2020-07-11 - 2020-07-17
  • Vitenskapelig foredrag
    Fondevik, Simen Keiland; Stahl, Annette; Transeth, Aksel Andreas; Knudsen, Ole Øystein. (2020) Image Segmentation of Corrosion Damages in Industrial Inspections. 32th International Conference on Tools with Artificial Intelligence 2020-11-09 - 2020-11-11
  • Vitenskapelig foredrag
    Saad, Aya; Bergum, Sondre Aleksander; Stahl, Annette. (2020) An instance segmentation framework for in-situ plankton taxa assessment. ICMV2020 The 13th International Conference on Machine Vision , Roma 2020-11-02 - 2020-11-06

2019

  • Faglig foredrag
    Holm, Egil; Transeth, Aksel Andreas; Ole, Knudsen; Stahl, Annette. (2019) Classification of Corrosion and Coating Damages on Bridge Constructions from Images using Convolutional Neural Networks. International Conference on Machine Vision - ICMV 2019-11-16 - 2019-11-18
  • Vitenskapelig foredrag
    Garrett, Joseph; Langer, Dennis D.; Avagian, Karine; Stahl, Annette. (2019) Accuracy of super-resolution for hyperspectral ocean observations. IEEE OCEANS , Marseille 2019-06-17 - 2019-06-20
  • Vitenskapelig foredrag
    Henriksen, Marie Bøe; Garrett, Joseph; Prentice, Elizabeth Frances; Sigernes, Fred; Stahl, Annette; Johansen, Tor Arne. (2019) Real-time Corrections for a Low-cost Hyperspectral Instrument . IEEE WHISPERS , Amsterdam 2019-09-24 - 2019-09-26
  • Poster
    Saad, Aya; Stahl, Annette. (2019) AILARON - Autonomous Imaging and Learning Ai RObot identifying plaNkton taxa in-situ. SINTEF Geilo Winter School 2019: Learning from Data , Geilo 2019-01-20 - 2019-01-25

2018

  • Faglig foredrag
    Leonardi, Marco; Stahl, Annette. (2018) Convolution Autoencoder aided loop closure detection for monocular SLAM. IFAC CAMS 2018 2018-09-10 - 2018-09-12
  • Vitenskapelig foredrag
    Rodin, Christopher D; Stahl, Annette; Johansen, Tor Arne. (2018) Skyline Based Camera Attitude Estimation Using a Digital Surface Model. 15th Int.Workshop on Advanced Motion Control 2018-03-09 - 2018-03-11

2017

  • Faglig foredrag
    Leonardi, Marco; Stahl, Annette; Ludvigsen, Martin; Nornes, Stein Melvær; Gazzea, Michele; Rist-Christensen, Ida. (2017) Vision based obstacle avoidance and motion tracking for autonomous behaviors in underwater vehicles. OCEANS 2017 2017-06-19 - 2017-06-22
  • Populærvitenskapelig foredrag
    Bloecher, Nina; Føre, Martin; Frank, Kevin; Svendsen, Eirik; Schellewald, Christian; Sunde, Leif Magne. (2017) Acoustic telemetry and computer vision methods for monitoring and documenting farmed fish behaviour during delousing operations. European Aquaculture Society Aquaculture Europe 2017 , Dubrovnik 2017-10-17 - 2017-10-20
  • Poster
    Haugo, Simen; Stahl, Annette; Brekke, Edmund Førland. (2017) Continuous Signed Distance Functions for 3D Vision. 2017 International Conference on 3D Vision (3DV) 2017-10-10 - 2017-10-12

2016

  • Intervju
    Stahl, Annette. (2016) Ser sykdom og gir friskere fisk. Teknisk Ukeblad Teknisk Ukeblad [Tidsskrift] 2016-11-14
  • Vitenskapelig foredrag
    Stahl, Annette; Schellewald, Christian; Frank, Kevin; Rundtop, Per; Svendsen, Eirik. (2016) Computer Vision Technology in Aquaculture. Aquaculture Europe 2016 , Edinburgh 2016-09-21 - 2016-09-23
  • Vitenskapelig foredrag
    Rundtop, Per; Stahl, Annette; Frank, Kevin; Svendsen, Eirik; Bjerkeng, Magnus; Grøtli, Esten Ingar. (2016) Underwater vehicle for autonomous net inspection in salmon aquaculture. Arctic Frontiers 2016-01-24 - 2016-01-29
  • Vitenskapelig foredrag
    Svendsen, Eirik; Rundtop, Per; Bjelland, Hans Vanhauwaert; Stahl, Annette; Frank, Kevin; Grøtli, Esten Ingar. (2016) Autonomy in aquaculture - Experiences, trends and future opportunities. Norsk Forening for Automatisering Conference on Autonomy 2016 , Sola/Stavanger 2016-03-16 - 2016-03-17
  • Vitenskapelig foredrag
    Frank, Kevin; Rundtop, Per; Lien, Andreas Myskja; Stahl, Annette; Malm, Morten; Tjølsen, Jan Inge. (2016) Infrastruktur og system for økt fôringskontroll i store merder . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
  • Vitenskapelig foredrag
    Rundtop, Per; Stahl, Annette. (2016) Utvikling av semi-autonom ROV for notinspeksjon . Norges Forskningsråd Programkonferansen HAVBRUK 2016 , Bodø 2016-04-18 - 2016-04-20
  • Faglig foredrag
    Jovanovic, Vedran; Babic, Zdenka; Risojevic, Vladimir; Svendsen, Eirik; Stahl, Annette. (2016) Splash Detection in Surveillance Videos of Offshore Fish Production Plants. Faculty of Electrical Engineering and Information Tech. International Conference on Systems, Signals and Image Processing (IWSSIP) 2016 Bratislava , Bratislava 2016-05-23 - 2016-05-25

2015

  • Vitenskapelig foredrag
    Duda, Alexander; Schwendner, Jakob; Stahl, Annette; Rundtop, Per. (2015) Visual Pose Estimation for Autonomous Inspection of Fish Pens. IEEE/MTS MTS/IEEE OCEANS'15 , Genova 2015-05-18 - 2015-05-21

2013

  • Vitenskapelig foredrag
    Stahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2013) Per-Pixel Accurate Three-dimensional Visualization of adaptive Locally Refined B-Splines in Isogeometric Analysis. Advances in Computational Mechanics (ACM 2013) - A Conference Celebrating the 70th Birthday of Thomas J.R. Hughes , San Diego, California 2013-02-24 - 2013-02-27

2012

  • Vitenskapelig foredrag
    Stahl, Annette; Johannessen, Kjetil Andre; Kvamsdal, Trond. (2012) Visualization of Adaptive LR B-Splines in Isogeometric Analysis. University of Vienna, ECCOMAS 2012, 6th EUROPEAN CONGRESS ON COMPUTATIONAL METHODS IN APPLIED SCIENCES AND ENGINEERING , Vienna 2012-09-10 - 2012-09-14

2011

  • Vitenskapelig foredrag
    Stahl, Annette; Kvamsdal, Trond. (2011) B-Spline Approximation for Visualization of Isogeometric Analysis Results. NTNU MekIT’11 Sixth National Conference on Computational Mechanics , Trondheim 2011-05-23 - 2011-05-24

2010

  • Vitenskapelig foredrag
    Stahl, Annette; Aamo, Ole Morten. (2010) Image motion estimation using optimal flow control. 7th International Conference on Informatics in Control, Automation and Robotics 2010-06-15 - 2010-06-18

2006

  • Vitenskapelig foredrag
    Ruhnau, Paul; Stahl, Annette; Schnoerr, Christoph. (2006) On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. DAGM 2006, 28th Annual Symposium of the German Association for Pattern Recognition , Berlin 2006-09-12 - 2006-09-14
  • Vitenskapelig foredrag
    Stahl, Annette; Ruhnau, Paul; Schnoerr, Christoph. (2006) A Distributed-Parameter Approach to Dynamic Image Motion. 9th European Conference on Computer Vision ECCV 2006, Int. Workshop: Representation and Use of Prior Knowledge in Vision , Graz 2006-05-07 - 2006-05-13

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